Looking for a Senior MLOps Engineer with a strong background in Data Engineering, who aspire to be part of a Data Science & AI Operations function in R&D.

This role involves applying advanced software engineering skills for the design, creation, management, and business use of large datasets, across a variety of Data/ML platforms.

This is an ideal opportunity for individuals with a passion for applying DevOps Skills for AI/ML application development in the health-care sector.

Additional Job Description :

- Proven experience in applying advanced software engineering skills in Data Science platforms (Data/ML).

- Strong experience in using MLOps tools like AWS SageMaker, MLFlow and ML Frameworks like TensorFlow/PyTorch.

- Hands-on Experience in CI/CD using tools Terraform/CloudFormation, Git, Containers Docker/Kubernetes, ECS/EKS, Helm Charts.

- Strong knowledge and Hands-on Experience with Data Lakes in building Data Pipelines using Python, Apache Spark, Lambda, Step Functions, SQL, Glue ETL in AWS.

- Working knowledge on Cloud Platforms & Infrastructure in AWS.

- Programming and Scripting knowledge using Python (Must needed), CLI/SDK/CDK.

- Ability to balance between Development and Research work on latest trends (GenAI Ops).

Minimum Requirements :

- Masters Degree or Higher in Computer Science/Data Science.

- The ability to fluently read, write, understand, and communicate in English.

- Relevant AWS Certifications related to ML/Data /Data (prefered).

- 5+ years of hands-on working experience in applying MLOps engineering for Data/AI with real-world problem solving in the medical device industry or equivalent industry experience is preferred.